Penglin Dai

2.5k total citations · 2 hit papers
69 papers, 1.8k citations indexed

About

Penglin Dai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Penglin Dai has authored 69 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 32 papers in Electrical and Electronic Engineering and 25 papers in Artificial Intelligence. Recurrent topics in Penglin Dai's work include IoT and Edge/Fog Computing (25 papers), Vehicular Ad Hoc Networks (VANETs) (20 papers) and Privacy-Preserving Technologies in Data (15 papers). Penglin Dai is often cited by papers focused on IoT and Edge/Fog Computing (25 papers), Vehicular Ad Hoc Networks (VANETs) (20 papers) and Privacy-Preserving Technologies in Data (15 papers). Penglin Dai collaborates with scholars based in China, Hong Kong and South Korea. Penglin Dai's co-authors include Huanlai Xing, Shouxi Luo, Kai Liu, Zhiwen Xiao, Xiao Wu, Zhaofei Yu, Victor C. S. Lee, Dawei Zhan, Rong Qu and Bowen Zhao and has published in prestigious journals such as Sensors, Information Sciences and IEEE Transactions on Vehicular Technology.

In The Last Decade

Penglin Dai

65 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Contrastive Representation Learning With Self-Distillation

2023 105 citations Zhiwen Xiao, Huanlai Xing et al. IEEE Transactions on Emerging Topics in Computational Intelligence profile →
Densely Knowledge-Aware Network for Multivariate Time Series Classification

2024 105 citations Zhiwen Xiao, Huanlai Xing et al. IEEE Transactions on Systems Man and Cybernetics Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Penglin Dai China	24	937	583	462	293	264	69	1.8k
Ghulam Abbas Pakistan	26	1.2k 1.3×	1.1k 1.8×	448 1.0×	359 1.2×	182 0.7×	147	2.3k
Ricky Y. K. Kwok Hong Kong	15	1.2k 1.2×	669 1.1×	385 0.8×	471 1.6×	260 1.0×	18	1.9k
Raj Rajkumar India	21	707 0.8×	524 0.9×	347 0.8×	226 0.8×	247 0.9×	88	1.7k
Aisha Hassan Abdalla Hashim Malaysia	19	794 0.8×	664 1.1×	251 0.5×	198 0.7×	286 1.1×	268	1.6k
Wuxiong Zhang China	24	1.1k 1.2×	887 1.5×	285 0.6×	289 1.0×	147 0.6×	93	1.8k
Jean‐Luc Gaudiot United States	22	1.0k 1.1×	405 0.7×	410 0.9×	442 1.5×	271 1.0×	183	2.0k
Hongbin Sun China	24	584 0.6×	549 0.9×	366 0.8×	186 0.6×	663 2.5×	128	1.9k
Hongzi Zhu China	32	1.3k 1.4×	1.5k 2.6×	441 1.0×	226 0.8×	342 1.3×	118	2.8k
Yuan Zhou China	22	383 0.4×	516 0.9×	316 0.7×	150 0.5×	229 0.9×	137	1.5k

Countries citing papers authored by Penglin Dai

Since Specialization

Citations

This map shows the geographic impact of Penglin Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Penglin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Penglin Dai more than expected).

Fields of papers citing papers by Penglin Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Penglin Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Penglin Dai. The network helps show where Penglin Dai may publish in the future.

Co-authorship network of co-authors of Penglin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Penglin Dai. A scholar is included among the top collaborators of Penglin Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Penglin Dai. Penglin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dai, Penglin, et al.. (2025). Meta-Transfer Learning-Based Cross-Domain Gesture Recognition Using WiFi Channel State Information. IEEE Transactions on Consumer Electronics. 71(2). 2530–2543. 2 indexed citations

Dai, Penglin, et al.. (2025). A Cooperative Kernel-Based Method for Task Offloading in Vehicular Edge Computing. IEEE Transactions on Network Science and Engineering. 12(5). 3919–3932. 1 indexed citations

Liu, Kai, Penglin Dai, Victor C. S. Lee, Joseph Kee‐Yin Ng, & Sang H. Son. (2024). Toward Connected, Cooperative and Intelligent IoV. The HKU Scholars Hub (University of Hong Kong). 1 indexed citations

Xing, Huanlai, Lexi Xu, Shouxi Luo, et al.. (2024). Adversarial Reinforcement Learning Based Data Poisoning Attacks Defense for Task-Oriented Multi-User Semantic Communication. IEEE Transactions on Mobile Computing. 23(12). 14834–14851. 4 indexed citations

Xiao, Zhiwen, Huanlai Xing, Rong Qu, et al.. (2024). Densely Knowledge-Aware Network for Multivariate Time Series Classification. IEEE Transactions on Systems Man and Cybernetics Systems. 54(4). 2192–2204. 105 indexed citations breakdown →

Dai, Penglin, et al.. (2024). Context-Aware Offloading for Edge-Assisted On-Device Video Analytics Through Online Learning Approach. IEEE Transactions on Mobile Computing. 23(12). 12761–12777. 4 indexed citations

Dai, Penglin, et al.. (2024). Joint Optimization for Quality Selection and Resource Allocation of Live Video Streaming in Internet of Vehicles. IEEE Transactions on Services Computing. 17(4). 1607–1621. 11 indexed citations

Li, Ke, et al.. (2024). Timeliness optimization of real-time scheduling for satellite dynamic tasks based on deep reinforcement learning. Scientia Sinica Informationis. 54(10). 2443–2443.

Dai, Penglin, et al.. (2024). Joint Optimization of Device Placement and Model Partitioning for Cooperative DNN Inference in Heterogeneous Edge Computing. IEEE Transactions on Mobile Computing. 24(1). 210–226. 7 indexed citations

10.

Xiao, Zhiwen, Huanlai Xing, Bowen Zhao, et al.. (2023). Deep Contrastive Representation Learning With Self-Distillation. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(1). 3–15. 105 indexed citations breakdown →

11.

Liu, Kai, et al.. (2023). Cooperative Data Uploading and Task Offloading via Markov-Approximation in Heterogeneous Vehicular Networks. 3200–3206. 1 indexed citations

12.

Dai, Penglin, et al.. (2023). Stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing. Neural Computing and Applications. 35(19). 14259–14274. 5 indexed citations

13.

Liu, Kai, et al.. (2023). Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Transactions on Intelligent Transportation Systems. 25(6). 4876–4891. 2 indexed citations

14.

Dai, Penglin, et al.. (2023). Freshness and Security-Aware Cache Update in Blockchain-Based Vehicular Edge Networks. IEEE Transactions on Consumer Electronics. 70(1). 108–121. 9 indexed citations

15.

Song, Fuhong, Huanlai Xing, Xinhan Wang, et al.. (2022). Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. IEEE Transactions on Mobile Computing. 1–18. 103 indexed citations

16.

Xing, Huanlai, Zhiwen Xiao, Dawei Zhan, et al.. (2022). SelfMatch: Robust semisupervised time‐series classification with self‐distillation. International Journal of Intelligent Systems. 37(11). 8583–8610. 99 indexed citations

17.

Liu, Zong-Kai, Penglin Dai, Huanlai Xing, Zhaofei Yu, & Wei Zhang. (2021). A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing. IEEE Transactions on Systems Man and Cybernetics Systems. 52(7). 4388–4401. 54 indexed citations

18.

Huang, Keke, Shuo Li, Penglin Dai, Zhen Wang, & Zhaofei Yu. (2020). SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction. Neural Networks. 126. 143–152. 23 indexed citations

19.

Dai, Penglin, et al.. (2016). Write reconstruction for write throughput improvement on MLC PCM based main memory. Journal of Systems Architecture. 71. 62–72. 3 indexed citations

20.

Dai, Penglin, Kai Liu, Edwin H.‐M. Sha, et al.. (2015). Vehicle Assisted Data Update for Temporal Information Service in Vehicular Networks. 2545–2550. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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